Advanced Image Post-Processing Methods for Photoacoustic Tomography: A Review

被引:4
|
作者
Tang, Kaiyi [1 ,2 ,3 ]
Zhang, Shuangyang [1 ,2 ,3 ]
Liang, Zhichao [1 ,2 ,3 ]
Wang, Yang [1 ,2 ,3 ]
Ge, Jia [1 ,2 ,3 ]
Chen, Wufan [1 ,2 ,3 ]
Qi, Li [1 ,2 ,3 ]
机构
[1] Southern Med Univ, Sch Biomed Engn, Guangzhou 510515, Peoples R China
[2] Southern Med Univ, Guangdong Prov Key Lab Med Image Proc, Guangzhou 510515, Peoples R China
[3] Southern Med Univ, Guangdong Prov Engn Lab Med Imaging & Diagnost Tec, Guangzhou 510515, Peoples R China
关键词
image post-processing; photoacoustic tomography; image enhancement; OPTOACOUSTIC TOMOGRAPHY; COMPUTED-TOMOGRAPHY; SELF-CALIBRATION; RECONSTRUCTION; ULTRASOUND; BREAST; SEGMENTATION; ALGORITHM; TISSUE; DECONVOLUTION;
D O I
10.3390/photonics10070707
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Photoacoustic tomography (PAT) is a promising imaging technique that utilizes the detection of light-induced acoustic waves for both morphological and functional biomedical imaging. However, producing high-quality images using PAT is still challenging and requires further research. Besides improving image reconstruction, which turns the raw photoacoustic signal into a PAT image, an alternative way to address this issue is through image post-processing, which can enhance and optimize the reconstructed PAT image. Image post-processing methods have rapidly emerged in PAT and are proven to be essential in improving image quality in recent research. In this review, we investigate the need for image post-processing in PAT imaging. We conduct a thorough literature review on the latest PAT image post-processing articles, including both general and PAT-specific post-processing techniques. In contrast to previous reviews, our analysis focuses specifically on advanced image post-processing rather than image reconstruction methods. By highlighting their potential applications, we hope to encourage further research and development in PAT image post-processing technology.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Review of PSF reconstruction methods and application to post-processing
    Beltramo-Martin, O.
    Ragland, S.
    Fetick, R.
    Correia, C.
    Dupuy, T.
    Fiorentino, G.
    Fusco, T.
    Jolissaint, L.
    Kamann, S.
    Marasco, A.
    Massari, D.
    Neichel, B.
    Schreiber, L.
    Wizinowich, P.
    [J]. ADAPTIVE OPTICS SYSTEMS VII, 2020, 11448
  • [2] Comparative analysis and new post-processing methods for plasma tomography at tokamaks
    Svoboda, J.
    Mlynar, J.
    Imrisek, M.
    Ficker, O.
    Carvalho, P.
    [J]. JOURNAL OF INSTRUMENTATION, 2019, 14
  • [3] A Review of Methods for the Geometric Post-Processing of Topology Optimized Models
    Subedi, Subodh C.
    Verma, Chaman Singh
    Suresh, Krishnan
    [J]. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2020, 20 (06)
  • [4] Novel post-processing methods used in detection of blotches in image sequences
    Ghaderi, M
    Kasaei, S
    [J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2004, 58 (01) : 58 - 64
  • [5] Fast post-processing algorithm for improving electrical capacitance tomography image reconstruction
    Grebennikov, A
    Gamio, C
    [J]. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2006, 14 (01) : 65 - 74
  • [6] The impact of irreversible image data compression on post-processing algorithms in computed tomography
    dos Santos, Daniel Pinto
    Friese, Conrad
    Borggrefe, Jan
    Mildenberger, Peter
    Maehringer-Kunz, Aline
    Kloeckner, Roman
    [J]. DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY, 2020, 26 (01) : 22 - 27
  • [7] Airway Evaluation with Multidetector Computed Tomography Post-Processing Methods in Asthmatic Patients
    Patyk, Mateusz
    Obojski, Andrzej
    Gojny, Lukasz
    Panaszek, Bernard
    Zaleska-Dorobisz, Urszula
    [J]. PULMONARY DYSFUNCTION AND DISEASE, 2016, 934 : 41 - 47
  • [8] Post-processing applications in thoracic computed tomography
    Walsh, S. L. F.
    Nair, A.
    Hansell, D. M.
    [J]. CLINICAL RADIOLOGY, 2013, 68 (05) : 433 - 448
  • [9] A post-processing deconvolution step for wavelet-based image denoising methods
    Mignotte, Max
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2007, 14 (09) : 621 - 624
  • [10] A generic post-processing framework for image dehazing
    Kumar, Balla Pavan
    Kumar, Arvind
    Pandey, Rajoo
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2023, 17 (06) : 3183 - 3191